ML/AI Engineer - Consultant

IBM Consulting is hiring an ML/AI Engineer - Consultant to build reliable software applying machine learning and modern AI techniques to business problems. The role implements and validates ML/AI components, maintains code quality, uses AI tools responsibly, and communicates progress while connecting technical solutions to business needs.

Responsibilities:

• Build ML/AI components: implement models, features, and application logic against clear specifications, choosing appropriate methods from established approaches
• Engineer for quality: write clean, readable, tested code; use version control, code review, and the team's standards as a matter of habit. Get the details right and verify your own work against acceptance criteria before it's called done
• Evaluate & validate: measure model/solution performance with the right metrics and confirm outputs are correct, and not just that the code runs
• Accelerate with modern AI: use LLM/agentic tools (e.g., Claude, Copilot) to move faster, while reviewing and validating everything the AI produces
• Communicate: clearly present your results and progress to the team; flag blockers and slippage early
• Bridge Business and Technology: Translate requirements, evaluate against business metrics

Requirements:

• working knowledge of core ML concepts and common frameworks (e.g., scikit-learn, PyTorch/TensorFlow); able to apply them to defined problems
• able to work with data, interpret results, and identify relevant features
• a track record of delivering assigned work reliably and accurately
• Ability to interpret statistical data and identify relevant features to inform solution development
• exposure to LLM/agentic developer tools and prompt basics
• proficiency in Python (or similar); comfortable with version control, testing, and code review
• explains technical work clearly to teammates and non-experts, and is starting to connect the "why" (business need) to the "how" (technical solution)